Work examining the conditions required for sound judgment, accountability, and ethical decision-making under pressure.
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Misinformation and disinformation are not simply problems of false content. They are symptoms of a deeper erosion of shared reality. As digital systems amplify distortion and synthetic media blurs truth, information integrity is emerging as a critical governance challenge.
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Governance failures rarely begin with a lack of information. They begin when boards receive distorted, filtered, delayed, or incomplete signals and mistake them for reality. Effective governance depends on signal quality, escalation integrity, and decision-making processes—not just compliance.
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This paper introduces the Failure Taxonomy — a structural model showing how harm accumulates in complex systems through drift, signal loss, and accountability inversion, without anyone intending it.
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Governance systems are designed for stability. Under sustained stress, visibility distorts, oversight becomes selectively blind, drift normalises, and outcomes become predictable.
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Dr Alwin Tan, GAICD, MBBS, FRACS, EMBA (University of Melbourne), AI in Healthcare (Harvard Medical School) Institute for Systems Integrity Introduction: the limits of individual explanations When adverse outcomes occur, organisations often focus first on individual actions. Questions such as who made the wrong decision or who failed to follow